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ACIIDS
2010
IEEE
204views Database» more  ACIIDS 2010»
15 years 11 months ago
An Unsupervised Learning and Statistical Approach for Vietnamese Word Recognition and Segmentation
There are two main topics in this paper: (i) Vietnamese words are recognized and sentences are segmented into words by using probabilistic models; (ii) the optimum probabilistic mo...
Hieu Le Trung, Vu Le Anh, Kien Le Trung
EMNLP
2007
15 years 7 months ago
Getting the Structure Right for Word Alignment: LEAF
Word alignment is the problem of annotating parallel text with translational correspondence. Previous generative word alignment models have made structural assumptions such as the...
Alexander Fraser, Daniel Marcu
LREC
2010
198views Education» more  LREC 2010»
15 years 7 months ago
eXtended WordFrameNet
This paper presents a novel automatic approach to partially integrate FrameNet and WordNet. In that way we expect to extend FrameNet coverage, to enrich WordNet with frame semanti...
Egoitz Laparra, German Rigau
LREC
2008
147views Education» more  LREC 2008»
15 years 7 months ago
Word Segmentation of Vietnamese Texts: a Comparison of Approaches
We present in this paper a comparison between three segmentation systems for the Vietnamese language. Indeed, the majority of Vietnamese words is built by semantic composition fro...
Quang Thang Dinh, Hong Phuong Le, Thi Minh Huyen N...
EACL
2006
ACL Anthology
15 years 7 months ago
Word Sense Induction: Triplet-Based Clustering and Automatic Evaluation
In this paper a novel solution to automatic and unsupervised word sense induction (WSI) is introduced. It represents an instantiation of the `one sense per collocation' obser...
Stefan Bordag